摘要
随着大规模风电场的并网运行,电力系统调度过程需要考虑风电的影响;而日益严重的气候变化问题和人类社会可持续发展战略,也对电力行业提出了清洁化发展的要求。在传统电力系统优化调度的基础上,引入"能源环境效益"概念对包含风电场的电力系统优化调度模型进行修正,同时考虑发电资源消耗最少、能源环境效益最好、系统安全稳定程度最高等因素,提出了含风电场的多目标优化调度模型。在求解模型时采用模糊化处理技术,并提出了综合禁忌搜索思想的改进粒子群算法。实例结果表明,所提出的优化调度模型合理、算法可行。
With the large-scale wind power connected into the power systems, the influence of wind farms penetration should be considered in power system dispatch. A clean development of the power industry was required because of the increasingly serious global climate change and the strategy of sustainable development of human society. Based on the optimal dispatch in traditional power system, the concept of “energy-environmental efficiency” was introduced to modify the optimal dispatch model in wind power integrated system, and the multi-objective optimal dispatch model was proposed on the basis of comprehensively considering the minimum of the resource consumption, the best energy-environmental efficiency and the highest system stability. A hybrid particle swarm and tabu search optimization algorithm with fuzzy technology was presented to solve the optimization model. Experimental results show that the proposed optimization dispatch model is reasonable and the algorithm is feasible.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第13期10-17,共8页
Proceedings of the CSEE
基金
中国博士后科学基金(20080430376)
中央高校基本科研业务费专项资金资助(20082070101000035)~~
关键词
电力系统
风电场
能源环境效益
多目标优化
模糊隶属度函数
禁忌搜索算法
粒子群算法
power system
wind power
energy- environmental efficiency
multi-objective optimization
fuzzy membership function
tabu search algorithm
particle swarm algorithm
